Why Evidence-Based AI Matters in the Age of Confident Hallucinations
Introduction
We live in an era where AI answers our questions with remarkable confidence.
Ask about recent research? AI delivers specific details.
But imagine this:
You’re a researcher. You published a major cohort study in 2022. 150,000 participants. Three years of your life. A milestone in your career.
Since then, you’ve moved forward. New projects. Better methodologies. Your field has evolved.
Summer 2025. A colleague asks an AI about recent research in your field.
AI’s response: “A groundbreaking 2025 cohort study of 150,000 participants has just been completed, showing…”
Your colleague gets excited. “Wow, brand new research!”
Then they see your name on the paper.
Wait.
That’s your 2022 paper.
AI just told the world you “just completed” research you published three years ago.
The Absurdity
You’ve spent three years since that paper:
Refining your methodology, publishing follow-up studies, training the next generation of researchers, and now moving your field forward
But according to AI:
You’re stuck in 2022. Your work is frozen in time. Your progress? Erased.
With absolute confidence, AI has rewritten your timeline.
Imagine the frustration:
“Wait, I moved past this research three years ago. Why is AI presenting my old work as brand new? What about everything I’ve done since?”
This isn’t just an error.
This is AI rewriting reality.
This is a story about what happens when we forget to ask one simple question:
“Where’s the proof? And when was it actually published?”
The Problem is Clear
AI rewrites timelines. Erases progress. Claims old work is new.
Because AI doesn’t cite sources with timestamps. This is why we built KlastroHeron – an AI that provides DOI citations for every claim, including publication dates you can verify.
Part 2 coming Friday:
Can AI accidentally turn your published research into anonymous folk wisdom?
